leigao-ceee

leigao-ceee's Stars

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.1k6241798.1k

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.6k1.3k1013.6k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.3k2523.5k3.6k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.7k594294k

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  16.5k406562.4k

• hindupuravinash/the-gan-zoo

  A list of all named GANs!

  Language:Python14.3k567352.5k

• ljpzzz/machinelearning

  My blogs and code for machine learning. http://cnblogs.com/pinard

  Language:Jupyter Notebook8.3k303243.7k

• deepchem/deepchem

  Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

  Language:Python5.5k1431.7k1.7k

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.4k651921.3k

• carpedm20/ENAS-pytorch

  PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

  Language:Python2.7k10847494

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python2k1879185

• Bjarten/early-stopping-pytorch

  Early stopping for PyTorch

  Language:Jupyter Notebook1.2k914293

• percyliang/cs229t

  Statistical Learning Theory (CS229T) Lecture Notes

  Language:TeX721231134

• keon/seq2seq

  Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

  Language:Python6891520172

• mehrdadn/SOTA-Py

  A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem

  Language:Python41112242

• perone/Pyevolve

  Pyevolve

  Language:Python3133239107

• odow/SDDP.jl

  A JuMP extension for Stochastic Dual Dynamic Programming

  Language:Julia3071733261

• chkwon/jpor_codes

  Codes for the book "Julia Programming for Operations Research"

  Language:Julia19513778

• RWTH-EBC/AixLib

  A Modelica model library for building performance simulations

  Language:Modelica1762870882

• calvin-zcx/moflow

  MoFlow: an invertible flow model for generating molecular graphs

  Language:Python1254540

• JuliaStochOpt/StochDynamicProgramming.jl

  A package for discrete-time optimal stochastic control

  Language:Julia62116916

• StructJuMP/StructJuMP.jl

  A block-structured optimization framework for JuMP

  Language:Julia54172919

• edouardberthe/adp-portfolio-selection

  Approximate Dynamic Programming for Portfolio Selection Problem

  Language:Python531112

• Fengyuan-Shi/ADP_course_given_by_BERTSEKAS_2014_THU

  Video and other material of ADP course given by BERTSEKAS at THU, 2014

  52209

• kfzyqin/Implementation-MolGAN-PyTorch

  PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.

  Language:Python504128

• lingquant/msppy

  Language:Python506323

• alanedelman/18.337_2017

  Language:Jupyter Notebook384214

• pierre-haessig/stodynprog

  StoDynProg is a tool to help solving (stochastic) optimal control problems, also called dynamic optimization.

  Language:HTML22325

• wanqiuchansheng/sddpy

  Python for Stochastic Dual Dynamic Programming Algorithm

  Language:Python163210

• tianshao1992/PINNs4pytorch

  PINNs-Demo

  Language:Jupyter Notebook131